Search Results for author: Rachel M. Bittner

Found 3 papers, 3 papers with code

LLark: A Multimodal Instruction-Following Language Model for Music

2 code implementations11 Oct 2023 Josh Gardner, Simon Durand, Daniel Stoller, Rachel M. Bittner

Music has a unique and complex structure which is challenging for both expert humans and existing AI systems to understand, and presents unique challenges relative to other forms of audio.

Instruction Following Language Modelling

A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation

1 code implementation18 Mar 2022 Rachel M. Bittner, Juan José Bosch, David Rubinstein, Gabriel Meseguer-Brocal, Sebastian Ewert

Despite its simplicity, benchmark results show our system's note estimation to be substantially better than a comparable baseline, and its frame-level accuracy to be only marginally below those of specialized state-of-the-art AMT systems.

Music Transcription

Multitask Learning for Fundamental Frequency Estimation in Music

1 code implementation2 Sep 2018 Rachel M. Bittner, Brian McFee, Juan P. Bello

Fundamental frequency (f0) estimation from polyphonic music includes the tasks of multiple-f0, melody, vocal, and bass line estimation.

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